Files
openclaw/extensions/xiaomi/index.test.ts
Peter Steinberger bb46b79d3c refactor: internalize OpenClaw agent runtime (#85341)
* refactor: extract agent core package

Introduce packages/agent-core as the OpenClaw-owned home for reusable agent loop, harness, session, prompt, and runtime dependency contracts.

* refactor: extract shared llm runtime

Move provider model registries, stream wrappers, OAuth helpers, and LLM utilities into src/llm with plugin-sdk barrels instead of depending on the old embedded runtime layout.

* refactor: remove pi runtime internals

Rename remaining Pi-shaped agent surfaces to OpenClaw agent runtime names, delete obsolete Pi docs and package graph checks, and add the third-party notice for incorporated code.

* refactor: tighten agent session runtime

Make agent-core/runtime dependencies explicit, consolidate compaction and session transcript helpers, and move model/session helpers behind OpenClaw-owned contracts.

* refactor: remove static model and pi auth paths

Drop static model catalogs and Pi auth bridges, move model/provider facts to manifest-owned runtime contracts, and harden internal embedded-agent utilities.

* refactor: remove legacy provider compat paths

* docs: remove agent parity notes

* fix: skip provider wildcard metadata parsing

* refactor: share session extension sdk loading

* refactor: inline acpx proxy error formatter

* refactor: fold edit recovery into edit tool

* fix: accept extension batch separator

* test: align startup provider plugin expectations

* fix: restore provider-scoped release discovery

* test: align static asset packaging expectations

* fix: run static provider catalogs during scoped discovery

* fix: add provider entry catalogs for scoped live discovery

* fix: load lightweight provider catalog entries

* fix: refresh provider-scoped plugin metadata

* fix: keep provider catalog entries on release live path

* fix: keep static manifest models in release live checks

* fix: harden release model discovery

* fix: reduce OpenAI live cache probe reasoning

* fix: disable OpenAI cache probe reasoning

* ci: extend OpenAI gateway live timeout

* fix: extend live gateway model budget

* fix: stabilize release validation regressions

* fix: honor provider aliases in model rows

* fix: stabilize release validation lanes

* fix: stabilize release memory qa

* ci: stabilize release validation lanes

* ci: prefer ipv4 for live docker node calls

* fix: restore shared tool-call stream wrapper

* ci: remove legacy pi test shard alias

* fix: clean up embedded agent test drift

* fix: stabilize runtime alias status

* fix: clean up embedded agent ci drift

* fix: restore release ci invariants

* fix: clean up post-rebase runtime drift

* fix: restore release ci checks

* fix: restore release ci after rebase

* fix: remove stale pi runtime path

* test: align compaction runtime expectations

* test: update plugin prerelease expectations

* fix: handle claude live tool approvals

* fix: stabilize release validation gates

* fix: finish agent runtime import

* test: finish post-rebase agent runtime mocks

* fix: keep codex compaction native

* fix: stabilize codex app-server hook tests

* test: isolate codex diagnostic active run

* test: remove codex diagnostic completion race

# Conflicts:
#	extensions/codex/src/app-server/run-attempt.test.ts

* ci: fix full release manifest performance run id

* refactor: narrow llm plugin sdk boundary

* chore: drop generated google boundary stamps

* fix: repair rebase fallout

* fix: clean up rebased runtime references

* fix: decode codex jwt payloads as base64url

* fix: preserve shipped pi runtime alias

* fix: add scoped sdk virtual modules

* fix: decode llm codex oauth jwt as base64url

* fix: avoid stale vertex adc negative cache

* fix: harden tool arg decoding and codeql path

* fix: keep vertex adc negative checks live

* refactor: consolidate codex jwt and edit helpers

* fix: await codex oauth node runtime imports

* fix: preserve sdk tool and notice contracts

* fix: preserve shipped compat config boundaries

* fix: align codex oauth callback host

* fix: terminate agent-core loop streams on failure

* fix: keep codex oauth callback alive during fallback

* ci: include session tools in critical codeql scans

* fix: keep Cloudflare Anthropic provider auth header

* docs: redirect legacy pi runtime pages

* fix: honor bundled web provider compat discovery

* fix: protect session output spill files

* fix: keep legacy agent dir env blocked

* fix: contain auto-discovered skill symlinks

* fix: harden agent core sdk proxy surfaces

* fix: restore approval reaction sdk compat

* fix: keep live docker runs bounded

* fix: keep codex oauth redirect host aligned

* fix: resolve post-rebase agent runtime drift

* fix: redact anthropic oauth parse failures

* fix: preserve responses strict tool shaping

* fix: repair agent runtime rebase cleanup

* docs: redirect retired parity pages

* fix: bound auto-discovered resources to roots

* fix: repair post-rebase agent test drift

* fix: preserve bundled provider allowlist migration

* fix: preserve manifest-owned provider aliases

* fix: declare photon image dependency

* fix: keep provider headers out of proxy body

* fix: preserve shipped env aliases

* fix: refresh control ui i18n generated state

* fix: quote read fallback paths

* fix: preview edits through configured backend

* test: satisfy core test typecheck

* fix: preserve ZAI usage auth fallback

* test: repair codex diagnostic test

* fix: repair agent runtime rebase drift

* test: finish embedded runner import rename

* fix: repair agent runtime rebase integrations

* test: align compaction oauth fallback expectations

* fix: allow sdk-auth session models

* fix: update doctor tool schema import

* fix: preserve bedrock plugin region

* fix: stream harmony-like prose immediately

* ci: include session runtime in codeql shards

* fix: repair latest rebase integrations

* fix: honor explicit codex websocket transport

* fix: keep openai-compatible credentials provider-scoped

* fix: refresh sdk api baseline after rebase

* fix: route cli runtime aliases through openclaw harness

* test: rename stale harness mock expectation

* test: rename embedded agent overflow calls

* test: clean embedded auth test wording

* test: use openclaw stream types in deepinfra cache test

* fix: refresh sdk api baseline on latest main

* fix: honor bundled discovery compat allowlists

* fix: refresh sdk api baseline after latest rebase

* fix: remove stale rebase imports

* test: rename stale model catalog mock

* test: mock renamed doctor runtime modules

* fix: map canonical kimi env auth

* fix: use internal model registry in bench script

* fix: migrate deepinfra provider catalog entry

* fix: enforce builtin tool suppression

* fix: route compaction auth and proxy payloads safely

* refactor: prune unused llm registry leftovers

* test: update codex hooks session import

* test: fix model picker ci coverage

* test: align model picker auth mock types
2026-05-27 19:24:04 +01:00

464 lines
15 KiB
TypeScript

import type { StreamFn } from "openclaw/plugin-sdk/agent-core";
import type { Context, Model } from "openclaw/plugin-sdk/llm";
import { createAssistantMessageEventStream } from "openclaw/plugin-sdk/llm";
import {
registerSingleProviderPlugin,
resolveProviderPluginChoice,
} from "openclaw/plugin-sdk/plugin-test-runtime";
import { buildOpenAICompletionsParams } from "openclaw/plugin-sdk/provider-transport-runtime";
import { describe, expect, it } from "vitest";
import { runSingleProviderCatalog } from "../test-support/provider-model-test-helpers.js";
import xiaomiPlugin from "./index.js";
import { createMiMoThinkingWrapper } from "./stream.js";
type OpenAICompletionsModel = Model<"openai-completions">;
type PayloadCapture = {
payload?: Record<string, unknown>;
};
type ThinkingPayload = {
type?: unknown;
};
type ReplayToolCall = {
id?: unknown;
type?: unknown;
function?: {
name?: unknown;
arguments?: unknown;
};
};
type RegisteredProvider = Awaited<ReturnType<typeof registerSingleProviderPlugin>>;
type FakeStream = {
result: () => Promise<unknown>;
[Symbol.asyncIterator]: () => AsyncIterator<unknown>;
};
const emptyUsage = {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
totalTokens: 0,
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
};
function requireThinkingProfileResolver(
provider: RegisteredProvider,
): NonNullable<RegisteredProvider["resolveThinkingProfile"]> {
if (!provider.resolveThinkingProfile) {
throw new Error("Xiaomi provider did not register a thinking profile resolver");
}
return provider.resolveThinkingProfile;
}
const readToolCall = { type: "toolCall", id: "call_1", name: "read", arguments: {} };
const readToolResult = {
role: "toolResult",
toolCallId: "call_1",
toolName: "read",
content: [{ type: "text", text: "ok" }],
isError: false,
timestamp: 3,
};
const readTool = {
name: "read",
description: "Read data",
parameters: { type: "object", properties: {}, required: [], additionalProperties: false },
};
function mimoReasoningModel(
id: "mimo-v2-pro" | "mimo-v2-omni" | "mimo-v2.5" | "mimo-v2.5-pro" | "mimo-v2.6-pro",
): OpenAICompletionsModel {
return {
provider: "xiaomi",
id,
name: id,
api: "openai-completions",
baseUrl: "https://api.xiaomimimo.com/v1",
reasoning: true,
input: ["text"],
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
contextWindow: 1_048_576,
maxTokens: 32_000,
compat: {},
} as OpenAICompletionsModel;
}
function replayAssistantMessage(params: {
provider: string;
model: string;
content: Array<Record<string, unknown>>;
stopReason: "stop" | "toolUse";
}) {
return {
role: "assistant",
api: "openai-completions",
provider: params.provider,
model: params.model,
content: params.content,
usage: emptyUsage,
stopReason: params.stopReason,
timestamp: 2,
};
}
function readToolReplayContext(assistantMessage: ReturnType<typeof replayAssistantMessage>) {
return {
messages: [{ role: "user", content: "hi", timestamp: 1 }, assistantMessage, readToolResult],
tools: [readTool],
} as Context;
}
function mimoReasoningToolReplayContext() {
return readToolReplayContext(
replayAssistantMessage({
provider: "xiaomi",
model: "mimo-v2.5-pro",
content: [
{
type: "thinking",
thinking: "call reasoning",
thinkingSignature: "reasoning_content",
},
readToolCall,
],
stopReason: "toolUse",
}),
);
}
function createPayloadCapturingStream(capture: PayloadCapture, model: OpenAICompletionsModel) {
return (
_streamModel: OpenAICompletionsModel,
streamContext: Context,
options?: { onPayload?: (payload: unknown, m: unknown) => unknown },
) => {
capture.payload = buildOpenAICompletionsParams(model, streamContext, {
reasoning: "high",
} as never);
options?.onPayload?.(capture.payload, model);
const stream = createAssistantMessageEventStream();
queueMicrotask(() => stream.end());
return stream;
};
}
function createFakeStream(params: { events: unknown[]; resultMessage: unknown }): FakeStream {
return {
async result() {
return params.resultMessage;
},
[Symbol.asyncIterator]() {
return (async function* () {
for (const event of params.events) {
yield event;
}
})();
},
};
}
function createResultStreamFn(params: { events?: unknown[]; resultMessage: unknown }): StreamFn {
return () =>
createFakeStream({
events: params.events ?? [],
resultMessage: params.resultMessage,
}) as ReturnType<StreamFn>;
}
function requireThinkingWrapper(
wrapper: ReturnType<typeof createMiMoThinkingWrapper>,
label: string,
): NonNullable<ReturnType<typeof createMiMoThinkingWrapper>> {
if (!wrapper) {
throw new Error(`expected MiMo thinking wrapper for ${label}`);
}
return wrapper;
}
function readThinking(payload: Record<string, unknown> | undefined): ThinkingPayload | undefined {
return payload?.thinking as ThinkingPayload | undefined;
}
function readPayloadMessage(
capture: PayloadCapture,
index: number,
): Record<string, unknown> | undefined {
return (capture.payload?.messages as Array<Record<string, unknown>> | undefined)?.[index];
}
function readFirstToolCall(
message: Record<string, unknown> | undefined,
): ReplayToolCall | undefined {
return (message?.tool_calls as ReplayToolCall[] | undefined)?.[0];
}
describe("xiaomi provider plugin", () => {
it("registers Xiaomi with api-key auth metadata", async () => {
const provider = await registerSingleProviderPlugin(xiaomiPlugin);
const resolved = resolveProviderPluginChoice({
providers: [provider],
choice: "xiaomi-api-key",
});
expect(provider.id).toBe("xiaomi");
expect(provider.label).toBe("Xiaomi");
expect(provider.envVars).toEqual(["XIAOMI_API_KEY"]);
expect(provider.auth).toHaveLength(1);
if (!resolved) {
throw new Error("expected Xiaomi api-key auth choice");
}
expect(resolved.provider.id).toBe("xiaomi");
expect(resolved.method.id).toBe("api-key");
});
it("builds the static Xiaomi model catalog with reasoning flags", async () => {
const provider = await registerSingleProviderPlugin(xiaomiPlugin);
const catalogProvider = await runSingleProviderCatalog(provider);
expect(catalogProvider.api).toBe("openai-completions");
expect(catalogProvider.baseUrl).toBe("https://api.xiaomimimo.com/v1");
const modelIds = catalogProvider.models?.map((m) => m.id);
expect(modelIds).toContain("mimo-v2-pro");
expect(modelIds).toContain("mimo-v2-omni");
expect(modelIds).toContain("mimo-v2-flash");
expect(catalogProvider.models?.find((m) => m.id === "mimo-v2-pro")?.reasoning).toBe(true);
expect(catalogProvider.models?.find((m) => m.id === "mimo-v2-omni")?.reasoning).toBe(true);
expect(catalogProvider.models?.find((m) => m.id === "mimo-v2-flash")?.reasoning).toBeFalsy();
});
it("owns OpenAI-compatible replay policy", async () => {
const provider = await registerSingleProviderPlugin(xiaomiPlugin);
const replayPolicy = provider.buildReplayPolicy?.({ modelApi: "openai-completions" } as never);
expect(replayPolicy?.sanitizeToolCallIds).toBe(true);
expect(replayPolicy?.toolCallIdMode).toBe("strict");
expect(replayPolicy?.validateGeminiTurns).toBe(true);
expect(replayPolicy?.validateAnthropicTurns).toBe(true);
});
it("marks resolved MiMo models for empty array items omission", async () => {
const provider = await registerSingleProviderPlugin(xiaomiPlugin);
const model = mimoReasoningModel("mimo-v2.5");
const normalized = provider.normalizeResolvedModel?.({
provider: "xiaomi",
modelId: model.id,
modelApi: model.api,
model,
} as never);
expect(
(normalized?.compat as { omitEmptyArrayItems?: unknown } | undefined)?.omitEmptyArrayItems,
).toBe(true);
});
it("advertises thinking profiles for MiMo reasoning models only", async () => {
const provider = await registerSingleProviderPlugin(xiaomiPlugin);
const resolveThinkingProfile = requireThinkingProfileResolver(provider);
const expectedLevels = ["off", "minimal", "low", "medium", "high", "xhigh", "max"];
for (const modelId of [
"mimo-v2-pro",
"mimo-v2-omni",
"mimo-v2.5",
"mimo-v2.5-pro",
"mimo-v2.6-pro",
]) {
const profile = resolveThinkingProfile({ provider: "xiaomi", modelId } as never);
expect(profile?.levels.map((l) => l.id)).toEqual(expectedLevels);
expect(profile?.defaultLevel).toBe("high");
}
expect(resolveThinkingProfile({ provider: "xiaomi", modelId: "mimo-v2-flash" } as never)).toBe(
undefined,
);
});
it("isModernModelRef returns true only for MiMo reasoning models", async () => {
const provider = await registerSingleProviderPlugin(xiaomiPlugin);
expect(
provider.isModernModelRef?.({ provider: "xiaomi", modelId: "mimo-v2.5-pro" } as never),
).toBe(true);
expect(
provider.isModernModelRef?.({ provider: "xiaomi", modelId: "mimo-v2.6-pro" } as never),
).toBe(true);
expect(
provider.isModernModelRef?.({ provider: "xiaomi", modelId: "mimo-v2-pro" } as never),
).toBe(true);
expect(
provider.isModernModelRef?.({ provider: "xiaomi", modelId: "mimo-v2-flash" } as never),
).toBe(false);
});
it("adds blank reasoning_content for replayed tool calls from non-xiaomi turns", async () => {
const capture: PayloadCapture = {};
const model = mimoReasoningModel("mimo-v2.5-pro");
const context = readToolReplayContext(
replayAssistantMessage({
provider: "openai",
model: "gpt-5.5",
content: [readToolCall],
stopReason: "toolUse",
}),
);
const baseStreamFn = createPayloadCapturingStream(capture, model);
const wrapThinkingHigh = requireThinkingWrapper(
createMiMoThinkingWrapper(baseStreamFn as never, "high"),
"high",
);
await wrapThinkingHigh(model, context, {});
const assistantMessage = readPayloadMessage(capture, 1);
expect(assistantMessage?.role).toBe("assistant");
expect(assistantMessage?.reasoning_content).toBe("");
const toolCall = readFirstToolCall(assistantMessage);
expect(toolCall?.id).toBe("call_1");
expect(toolCall?.type).toBe("function");
expect(toolCall?.function?.name).toBe("read");
expect(toolCall?.function?.arguments).toBe("{}");
});
it("preserves replayed reasoning_content when MiMo thinking is enabled", async () => {
const capture: PayloadCapture = {};
const model = mimoReasoningModel("mimo-v2.5-pro");
const context = mimoReasoningToolReplayContext();
const baseStreamFn = createPayloadCapturingStream(capture, model);
const wrapThinkingHigh = requireThinkingWrapper(
createMiMoThinkingWrapper(baseStreamFn as never, "high"),
"high",
);
await wrapThinkingHigh(model, context, {});
expect(readThinking(capture.payload)?.type).toBe("enabled");
const assistantMessage = readPayloadMessage(capture, 1);
expect(assistantMessage?.role).toBe("assistant");
expect(assistantMessage?.reasoning_content).toBe("call reasoning");
const toolCall = readFirstToolCall(assistantMessage);
expect(toolCall?.id).toBe("call_1");
expect(toolCall?.type).toBe("function");
expect(toolCall?.function?.name).toBe("read");
});
it("strips reasoning_content when MiMo thinking is disabled", async () => {
const capture: PayloadCapture = {};
const model = mimoReasoningModel("mimo-v2-pro");
const context = mimoReasoningToolReplayContext();
const baseStreamFn = createPayloadCapturingStream(capture, model);
const wrapThinkingNone = requireThinkingWrapper(
createMiMoThinkingWrapper(baseStreamFn as never, "none" as never),
"none",
);
await wrapThinkingNone(model, context, {});
expect(readThinking(capture.payload)?.type).toBe("disabled");
expect((capture.payload?.messages as Array<Record<string, unknown>>)[1]).not.toHaveProperty(
"reasoning_content",
);
});
it.each(["mimo-v2-pro", "mimo-v2-omni"] as const)(
"promotes reasoning-only terminal output to visible text for %s",
async (modelId) => {
const model = mimoReasoningModel(modelId);
const wrapped = requireThinkingWrapper(
createMiMoThinkingWrapper(
createResultStreamFn({
events: [
{
type: "message_end",
message: {
role: "assistant",
content: [{ type: "thinking", thinking: "MiMo final answer" }],
stopReason: "stop",
},
},
],
resultMessage: {
role: "assistant",
content: [{ type: "thinking", thinking: "MiMo final answer" }],
stopReason: "stop",
},
}),
"high",
),
modelId,
);
const stream = (await wrapped(model, { messages: [] } as Context, {})) as FakeStream;
const events: unknown[] = [];
for await (const event of stream) {
events.push(event);
}
expect(events).toEqual([
{
type: "message_end",
message: {
role: "assistant",
content: [{ type: "text", text: "MiMo final answer" }],
stopReason: "stop",
},
},
]);
await expect(stream.result()).resolves.toEqual({
role: "assistant",
content: [{ type: "text", text: "MiMo final answer" }],
stopReason: "stop",
});
},
);
it("does not promote reasoning when the MiMo assistant turn also has text or tool calls", async () => {
const model = mimoReasoningModel("mimo-v2-pro");
const textMessage = {
role: "assistant",
content: [
{ type: "thinking", thinking: "internal" },
{ type: "text", text: "already visible" },
],
stopReason: "stop",
};
const toolMessage = {
role: "assistant",
content: [{ type: "thinking", thinking: "call reasoning" }, readToolCall],
stopReason: "toolUse",
};
for (const resultMessage of [textMessage, toolMessage]) {
const wrapped = requireThinkingWrapper(
createMiMoThinkingWrapper(createResultStreamFn({ resultMessage }), "high"),
"mixed-content",
);
const stream = (await wrapped(model, { messages: [] } as Context, {})) as FakeStream;
await expect(stream.result()).resolves.toEqual(resultMessage);
}
});
it("does not promote reasoning-only output for newer MiMo replay models", async () => {
const model = mimoReasoningModel("mimo-v2.5-pro");
const resultMessage = {
role: "assistant",
content: [{ type: "thinking", thinking: "actual reasoning" }],
stopReason: "stop",
};
const wrapped = requireThinkingWrapper(
createMiMoThinkingWrapper(createResultStreamFn({ resultMessage }), "high"),
"mimo-v2.5-pro",
);
const stream = (await wrapped(model, { messages: [] } as Context, {})) as FakeStream;
await expect(stream.result()).resolves.toEqual(resultMessage);
});
});